Ping Jia
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View article: Flow-similarity-based modeling method for aero-optical aberrations
Flow-similarity-based modeling method for aero-optical aberrations Open
With the increasing speed of vehicles, the influence of aero-optical transmission effects on airborne optical imaging has become increasingly critical. An important aspect of aero-optical aberration research is to develop prediction models…
View article: Frequency-Aware Diffusion Model for Multi-Modal MRI Image Synthesis
Frequency-Aware Diffusion Model for Multi-Modal MRI Image Synthesis Open
Magnetic Resonance Imaging (MRI) is a widely used, non-invasive imaging technology that plays a critical role in clinical diagnostics. Multi-modal MRI, which combines images from different modalities, enhances diagnostic accuracy by offeri…
View article: Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning
Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning Open
Humans achieve contact-rich dexterous grasping through the synergy of visual and tactile information. However, the high-dimensional action space of high DoF multi-fingered hands poses significant challenges to this operation. In this study…
View article: Enhancing Anomaly Detection for Cultural Heritage via Long Short-Term Memory with Attention Mechanism
Enhancing Anomaly Detection for Cultural Heritage via Long Short-Term Memory with Attention Mechanism Open
Cultural heritages are invaluable and non-renewable resources. Existing warning mechanisms usually rely on degradation analysis to assess environmental risk factors. However, they have limitations such as complex research, poor generalizat…
View article: Variable-Weighted Error Propagation Model of a Ultra-Wide-Band Indoor Positioning System in an Intelligent Manufacturing Lab
Variable-Weighted Error Propagation Model of a Ultra-Wide-Band Indoor Positioning System in an Intelligent Manufacturing Lab Open
Ultra-wide-band (UWB) positioning is a satisfying indoor positioning technology with high accuracy, low transmission cost, high speed, and strong penetration capacity. However, there remains a lack of systematic study on inevitable and sto…
View article: Video-based pedestrian grouping model considering long-span space in a big hall
Video-based pedestrian grouping model considering long-span space in a big hall Open
Pedestrian group detection is a challenging but significant issue in pedestrian flow control and public safety management. To address the issue that most conventional pedestrian grouping models (PGMs) can only identify a pedestrian group a…
View article: Panic-Pressure Conversion Model from Microscopic Pedestrian Movement to Macroscopic Crowd Flow
Panic-Pressure Conversion Model from Microscopic Pedestrian Movement to Macroscopic Crowd Flow Open
View article: Crowd Stability Analysis Based on Pedestrian Abnormal Postures
Crowd Stability Analysis Based on Pedestrian Abnormal Postures Open
Abnormal behaviors of pedestrians in crowd gathering public places are important factors affecting the stability of crowd flow. Pedestrian abnormal postures are important manifestation of abnormal behaviors, which often leads to local turb…
View article: Pedestrian’s Abnormal Behaviour Detection Based on Machine Vision
Pedestrian’s Abnormal Behaviour Detection Based on Machine Vision Open
It is significant to automatically analyse video sequences for timely and accurate detection of abnormal pedestrian behaviour by using computer vision and analysis technology in public places. To realize the real-time monitoring of abnorma…
View article: Dynamic model of macro crowd merging based on abnormal pedestrian posture
Dynamic model of macro crowd merging based on abnormal pedestrian posture Open
Crowd merging is a complex process, and any sudden external or internal disturbance will destroy the stability of the crowd. The occurrence of abnormal behavior will affect the crowd flow process and inevitably affect the stability of the …
View article: Pedestrian motion centroid model based on robot dynamics
Pedestrian motion centroid model based on robot dynamics Open
In recent years, with the rapid development of computer vision technology, image-based human body research has become an important task, such as pedestrian target detection, trajectory tracking, posture estimation and behaviour recognition…
View article: Analysis of dynamic model based on pedestrian’s abnormal posture
Analysis of dynamic model based on pedestrian’s abnormal posture Open
It is significant to detect abnormal postures of pedestrians in the crowd to crowd stability control. This study locates the joint points of pedestrians based on the pose estimation algorithm OpenPose. After the analysis of 18 nodes and si…
View article: A close-loop verification approach for pedestrian stability based on machine vision
A close-loop verification approach for pedestrian stability based on machine vision Open
In public places, it is significant to analyze the stability of the crowd which can support the crowd management and control, and protect the evacuees safely and effectively. The numerical analysis method of system stability based on Lyapu…
View article: Acceleration-critical density time-delay model for crowd stability analysis based on Lyapunov theory
Acceleration-critical density time-delay model for crowd stability analysis based on Lyapunov theory Open
Crowd stability analysis is one of research hotspots to alleviate the severe situation of stampede accidents worldwide. Different from the conventional analysis models for crowd stability based on pedestrian density, this study analyses th…
View article: An improved Synchronization signal detection algorithm in LTE 230
An improved Synchronization signal detection algorithm in LTE 230 Open
LTE 230 system is designed for the smart grid to transmit information in a wireless method instead of the wired or manual method.PSS (Primary synchronization signal) is the synchronization signal first detected in LTE 230 system.The timing…